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data. Develop and apply signal processing workflows for weak transient signals, long-term monitoring, feature extraction and statistical analysis. Support sound playback/stimulation protocols for plant
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and interpret research findings and results from existing data Collect pilot data and demonstrate proof of concept for new methods Main Duties The responsibilities may include some but not all
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’, and to several ML-based projects at the British Antarctic Survey (BAS). There are also strong connections to the Institute for Data and Artificial Intelligence (IDAI) at UoB. Role Summary Implement and
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will have hands-on experience in research teams, scholarly publications, conference presentations, and robust coding practices including version control and reproducible data pipelines. Proficiency in
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to writing bids for research funding Analyse and interpret data Apply knowledge in a way which develops new intellectual understanding Disseminate research findings for publication, research seminars etc
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designing and delivering simulation studies of health facilities/systems, coordinating data-collection surveys, engaging with stakeholders, and supporting the establishment of an international learning
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of data on different aetiological subtypes of TIA and stroke study subjects as part of the Oxford Vascular Study (OxVasc), a population-based cohort study of all acute vascular events in all arterial
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role in a major research project, as directed by Mr Piers Boshier and other academic supervisors. The research project will entail project design, experimental work in addition to data analysis and
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, conducting desktop and site-based service mapping exercise, qualitative data collection and analysis, and working closely with the PPI Leads in co-producing outputs and associated toolkits to aid
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over one or more core research thrusts within the lab’s multi-agent security programme. You should possess a PhD/DPhil completed, (or near completion), in theoretical computer science, information theory